Data Engineering eBook and Tutorial

Original price was: ₹2,500.00.Current price is: ₹2,200.00.

15 Chapter Titles

  1. Introduction to Data Engineering and Its Ecosystem
  2. Understanding Data Architectures and Modern Data Platforms
  3. Data Ingestion: Techniques, Tools, and Best Practices
  4. ETL and ELT Processes: Building Efficient Data Pipelines
  5. Data Storage Systems: Databases, Data Lakes, and Warehouses
  6. Data Modeling and Schema Design
  7. Data Processing with Python and Apache Spark
  8. Working with SQL for Data Transformation and Analytics
  9. Workflow Orchestration Using Apache Airflow
  10. Data Quality, Validation, and Governance
  11. Big Data Frameworks: Hadoop, Spark, and Beyond
  12. Streaming Data Pipelines and Real-Time Analytics
  13. Cloud Data Engineering: AWS, Azure, and Google Cloud
  14. Data Security, Privacy, and Compliance in Engineering
  15. End-to-End Data Engineering Project with Exercises and Solutions

 

🚀 Mastering Data Engineering

Concepts, Examples, Exercises & Real-World Solutions

By Global Skills Institute

In today’s data-driven economy, organizations don’t just need data — they need robust, scalable, intelligent data systems.

This comprehensive tutorial is your complete roadmap to becoming a confident Data Engineer, covering everything from foundational concepts to real-world cloud deployment and career strategy.


💡 Why This Tutorial Is Different

Unlike scattered online resources, this guide delivers:

✔ 15 structured, industry-aligned chapters
✔ Real-world architecture examples
✔ Hands-on Python, SQL & PySpark implementations
✔ ETL & ELT pipeline design
✔ Cloud platforms (AWS, Azure, GCP)
✔ Data Lake & Lakehouse architecture
✔ Airflow orchestration & automation
✔ Streaming pipelines with Kafka & Spark
✔ Data governance, quality & security frameworks
✔ Capstone end-to-end project
✔ Exercises with detailed solutions

This is not just theory — it is implementation-ready knowledge.


🎯 What You Will Gain

🔹 Design scalable batch & real-time data pipelines
🔹 Master ETL/ELT workflows
🔹 Build modern data warehouses & data lakes
🔹 Implement streaming analytics
🔹 Automate workflows using Apache Airflow
🔹 Deploy cloud-native data architectures
🔹 Apply governance, security & compliance standards
🔹 Prepare for certifications (AWS, Azure, GCP, Databricks)


🏆 Designed For

• Aspiring Data Engineers
• Software Developers transitioning to Data
• Data Analysts upgrading to Engineering roles
• Cloud & DevOps Professionals
• AI/ML Engineers
• IT & Engineering Students
• Corporate Training Programs


🌍 Industry-Relevant & Career-Focused

This tutorial also includes:

✔ Career roadmap & salary insights
✔ Certification guidance
✔ Global & Indian vendor ecosystem overview
✔ Emerging trends: DataOps, Lakehouse, Serverless, AI-driven pipelines
✔ Practical self-assessment exercises

You don’t just learn tools — you learn how the global data ecosystem operates.


📈 Your Competitive Advantage

Data Engineering is among the highest-paying and fastest-growing careers worldwide.

This tutorial equips you with the skills, architecture mindset, and implementation expertise required to compete at a global level.


If you want to move from learning concepts to building production-ready systems, this tutorial is your strategic advantage.


 

Reviews

There are no reviews yet.

Be the first to review “Data Engineering eBook and Tutorial”